Evidence map›Paper›PMID 25954294›Full record

ArticleFrontiers in plant science2015

Naturally occurring diversity helps to reveal genes of adaptive importance in legumes.

Laurent Gentzbittel, Stig U Andersen, Cécile Ben, Martina Rickauer, Jens Stougaard, Nevin D Young

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  7. Faba Bean (Frontiers in microbiology · 2018
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  12. Quantitative Resistance toFrontiers in plant science · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Laurent GentzbittelEcoLab Laboratoire Écologie Fonctionnelle et Environnement, Institut National Polytechnique de Toulouse, Ecole Nationale Supérieure Agronomique de Toulouse, Université Fédérale de Toulouse Castanet Tolosan, France ; EcoLab Laboratoire Écologie Fonctionnelle et Environnement, Centre National de la Recherche Scientifique Castanet Tolosan, France.
Stig U AndersenDepartment of Molecular Biology and Genetics, Centre for Carbohydrate Recognition and Signalling, Aarhus University Aarhus, Denmark.
Cécile BenEcoLab Laboratoire Écologie Fonctionnelle et Environnement, Institut National Polytechnique de Toulouse, Ecole Nationale Supérieure Agronomique de Toulouse, Université Fédérale de Toulouse Castanet Tolosan, France ; EcoLab Laboratoire Écologie Fonctionnelle et Environnement, Centre National de la Recherche Scientifique Castanet Tolosan, France.
Martina RickauerEcoLab Laboratoire Écologie Fonctionnelle et Environnement, Institut National Polytechnique de Toulouse, Ecole Nationale Supérieure Agronomique de Toulouse, Université Fédérale de Toulouse Castanet Tolosan, France ; EcoLab Laboratoire Écologie Fonctionnelle et Environnement, Centre National de la Recherche Scientifique Castanet Tolosan, France.
Jens StougaardDepartment of Molecular Biology and Genetics, Centre for Carbohydrate Recognition and Signalling, Aarhus University Aarhus, Denmark.
Nevin D YoungDepartment of Plant Pathology, University of Minnesota St. Paul, MN, USA ; Department of Plant Biology, University of Minnesota St. Paul, MN, USA.
Aarhus University · DKLaboratoire Écologie Fonctionnelle et Environnement · FRInstitut National Polytechnique de Toulouse · FRUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental changes challenge plants and drive adaptation to new conditions, suggesting that natural biodiversity may be a source of adaptive alleles acting through phenotypic plasticity and/or micro-evolution. Crosses between accessions differing for a given trait have been the most common way to disentangle genetic and environmental components. Interestingly, such man-made crosses may combine alleles that never meet in nature. Another way to discover adaptive alleles, inspired by evolution, is to survey large ecotype collections and to use association genetics to identify loci of interest. Both of these two genetic approaches are based on the use of biodiversity and may eventually help us in identifying the genes that plants use to respond to challenges such as short-term stresses or those due to global climate change. In legumes, two wild species, Medicago truncatula and Lotus japonicus, plus the cultivated soybean (Glycine max) have been adopted as models for genomic studies. In this review, we will discuss the resources, limitations and future plans for a systematic use of biodiversity resources in model legumes to pinpoint genes of adaptive importance in legumes, and their application in breeding.

Indexed as

gene expressiongeneticsGlycine maxGWASLotus japonicusMedicago truncatulawhole genome sequencing

Identifiers

PMID25954294
PMCPMC4404971
OpenAlexW2031000714

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.